Automated highly multiplex detection system for respiratory pathogens in canines

The assay developed has demonstrated high analytical sensitivity and specificity. The results obtained from the automated system are comparable to those from conventional laboratory procedures. The assay has shown possibility in rapidly detecting multiple pathogens in canines, and its utility can potentially be extended beyond companion animals to other mammalian species as well. Its application can enhance infection surveillance in animal populations and potentially mitigate zoonotic transmission risks.

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Publication Details

Journal
Frontiers in Veterinary Science
Published
2026-01-09
DOI
https://doi.org/10.3389/fvets.2025.1722097
Primary Topic
Respiratory viral infections research
Type
article
Field-Weighted Citation Impact
0.00

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article

Automated highly multiplex detection system for respiratory pathogens in canines

Parker Y. L. Tsang, Lby Lau, Xie Lin, Wing Shing Wong et al.
Frontiers in Veterinary Science
Respiratory viral infections research
article

Automated highly multiplex detection system for respiratory pathogens in canines

Parker Y. L. Tsang, Lby Lau, Xie Lin, Wing Shing Wong, Johnson Y. N. Lau
article en

Abstract

The assay developed has demonstrated high analytical sensitivity and specificity. The results obtained from the automated system are comparable to those from conventional laboratory procedures. The assay has shown possibility in rapidly detecting multiple pathogens in canines, and its utility can potentially be extended beyond companion animals to other mammalian species as well. Its application can enhance infection surveillance in animal populations and potentially mitigate zoonotic transmission risks.

Frontiers in Veterinary ScienceVol. 12
Hong Kong Baptist University (HK), Hong Kong Polytechnic University (HK), Hong Kong Virtual University (CN)
Hong Kong Baptist University, Innovation and Technology Commission, Macau University of Science and Technology, Hong Kong Government
Good health and well-being
Openalex Percentile: Top 95%
Respiratory viral infections research
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